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drasticstatic

robinhood-mcp

robinhood_get_news

Retrieve recent news articles for a stock using its ticker symbol. Supports analysis and research.

Instructions

Get recent news articles for a stock.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesStock ticker symbol

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The actual implementation of get_news that calls rh.stocks.get_news, normalizes the symbol, and returns a list of news articles.
    def get_news(symbol: str) -> list[dict[str, Any]]:
        """Get recent news articles for a stock.
    
        Args:
            symbol: Stock ticker symbol.
    
        Returns:
            List of news articles with title, url, source, published_at, etc.
        """
        symbol = _normalize_symbol(symbol)
        result = _safe_call(rh.stocks.get_news, symbol)
        return result if isinstance(result, list) else []
  • The MCP tool handler 'robinhood_get_news' registered with @mcp.tool(), which calls _ensure_logged_in() then delegates to the get_news helper.
    @mcp.tool()
    def robinhood_get_news(symbol: str) -> list:
        """Get recent news articles for a stock.
    
        Args:
            symbol: Stock ticker symbol
    
        Returns list of news articles with title, URL, source,
        and publication date.
        """
        _ensure_logged_in()
        return get_news(symbol)
  • The tool signature: def robinhood_get_news(symbol: str) -> list with docstring describing the return value (list of news articles with title, URL, source, publication date).
    def robinhood_get_news(symbol: str) -> list:
        """Get recent news articles for a stock.
    
        Args:
            symbol: Stock ticker symbol
    
        Returns list of news articles with title, URL, source,
        and publication date.
        """
        _ensure_logged_in()
        return get_news(symbol)
  • The @mcp.tool() decorator that registers robinhood_get_news as a FastMCP tool.
    @mcp.tool()
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No behavioral traits are disclosed beyond the basic purpose. No annotations are provided, so the description carries full burden but lacks details on API behavior, rate limits, or what type of news is returned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no extraneous words. However, it is almost too minimal, lacking useful context that could be added without bloat.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has one parameter, no annotations, and an output schema exists, the description is adequate but does not explain the nature of the news, recency, or source. It is minimally complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% because the only parameter 'symbol' has a description. The description adds no additional meaning or context beyond the schema, resulting in a baseline score of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves recent news articles for a stock. The verb 'Get' and resource 'recent news articles' are specific, and it distinguishes from sibling tools like robinhood_get_earnings and robinhood_get_quote.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus siblings such as robinhood_get_ratings or robinhood_get_fundamentals. There is no mention of alternative tools or conditions for use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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